Build a Mini AI Supercomputer
Master the art of designing AI systems by weighing cost, power, and performance constraints through interactive training modules, real-world scenarios, and hands-on challenges.
Why AI System Design Matters
Learn the critical concepts that shape real-world AI infrastructure
Constraint-Driven Design
Real AI systems are built around constraints like budget, power, and scalability—not unlimited resources.
Bottleneck Identification
Discover how one weak component—GPU, RAM, or network—can limit your entire system's performance.
Engineering Tradeoffs
Practice making strategic decisions—what to prioritize, what to sacrifice, and how to justify your choices.
Interactive Lab Activities
Practice with realistic scenarios and build your system design skills through hands-on experience
Choose Your Startup
Select from real-world AI use cases like vision systems, chatbots, or forecasting—each with unique constraints and challenges.
Build Your System
Select CPU, GPU, RAM, storage, and cooling while balancing your budget and power constraints in real time.
Benchmark Performance
Test your system against workload requirements and identify bottlenecks that limit performance.
Handle Plot Twists
Adapt when conditions change—budget cuts, demand spikes, or hardware shortages—just like in real deployments.
Ready to Design Your AI System?
Join thousands of students who have strengthened their AI infrastructure knowledge through our comprehensive hands-on lab experience.